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Subsequent multivariate analyses, described below control for these factors.
Multivariate analyses described a similar independent negative association between suppurative OM and PHiD-CV10 compared to PCV7 (Odds Ratio = 0.6 [95% CI 0.4 to 0.8] p = 0.001).
The following variables were not statistically associated with either symptoms of PTSD or depression in the multivariate analyses described above: 1) length of abduction, 2) going through a reception center, 3) being married or in partnership relationship.
Because of the small sample sizes for two of these categories, a dichotomous variable indicating any AOD and/or MH disorder was used in the multivariate analyses (described below).
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A third and final set of multivariate analyses describes the association between resident characteristics and their utilization of CHS services.
The results of these multivariate analyses are described below.
Along with the descriptive analyses described above, multivariate log-binomial regression was used to determine the association between receiving a diabetes test within the recommended time frame and the covariates of interest.
JCB conducted the multivariate regressions and the principal components analyses described in this paper, and drafted some of the results described in this paper.
As a complementary approach to model-based genetic analyses described above, this multivariate method does not make strong assumptions of Hardy-Weinberg equilibrium or linkage equilibrium in the data.
Using multivariate analyses we describe the main patterns of bird species abundance and composition in relation to local habitat variables.
The chapter begins with a discussion of the purposes of multivariate analyses and describe research situations found in the behavioral science literature that call for the use of a MANOVA or a MANCOVA.
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